Cargando…
The Pandora software development kit, CHEP 2012
Pandora is a robust and efficient framework for developing and running patternrecognition algorithms. It was designed to perform particle flow calorimetry, which requires many complex pattern-recognition techniques to reconstruct the paths of individual particles through fine granularity detectors....
Autores principales: | , |
---|---|
Formato: | info:eu-repo/semantics/article |
Lenguaje: | eng |
Publicado: |
J. Phys.: Conf. Ser.
2012
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/396/2/022034 http://cds.cern.ch/record/1994340 |
_version_ | 1780945841076305920 |
---|---|
author | Marshall, J S Thomson, M A |
author_facet | Marshall, J S Thomson, M A |
author_sort | Marshall, J S |
collection | CERN |
description | Pandora is a robust and efficient framework for developing and running patternrecognition
algorithms. It was designed to perform particle flow calorimetry, which requires
many complex pattern-recognition techniques to reconstruct the paths of individual particles
through fine granularity detectors. The Pandora C++ software development kit (SDK) consists
of a single library and a number of carefully designed application programming interfaces (APIs).
A client application can use the Pandora APIs to pass details of tracks and hits/cells to the
Pandora framework, which then creates and manages named lists of self-describing objects.
These objects can be accessed by Pandora algorithms, which perform the pattern-recognition
reconstruction. Development with the Pandora SDK promotes the creation of small, re-usable
algorithms containing just the kernel of a specific operation. The algorithms are configured
via XML and can be nested to perform complex reconstruction tasks. As the algorithms only
access the Pandora objects in a controlled manner, via the APIs, the framework can perform
most book-keeping and memory-management operations. The Pandora SDK has been fully
exploited in the implementation of PandoraPFA, which uses over 60 algorithms to provide the state of the art in particle flow calorimetry for ILC and CLIC. |
format | info:eu-repo/semantics/article |
id | cern-1994340 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2012 |
publisher | J. Phys.: Conf. Ser. |
record_format | invenio |
spelling | cern-19943402022-08-17T13:30:07Z doi:10.1088/1742-6596/396/2/022034 http://cds.cern.ch/record/1994340 eng Marshall, J S Thomson, M A The Pandora software development kit, CHEP 2012 Detectors and Experimental Techniques 2: Common software tools 2.3: Reconstruction toolkit for HEP Pandora is a robust and efficient framework for developing and running patternrecognition algorithms. It was designed to perform particle flow calorimetry, which requires many complex pattern-recognition techniques to reconstruct the paths of individual particles through fine granularity detectors. The Pandora C++ software development kit (SDK) consists of a single library and a number of carefully designed application programming interfaces (APIs). A client application can use the Pandora APIs to pass details of tracks and hits/cells to the Pandora framework, which then creates and manages named lists of self-describing objects. These objects can be accessed by Pandora algorithms, which perform the pattern-recognition reconstruction. Development with the Pandora SDK promotes the creation of small, re-usable algorithms containing just the kernel of a specific operation. The algorithms are configured via XML and can be nested to perform complex reconstruction tasks. As the algorithms only access the Pandora objects in a controlled manner, via the APIs, the framework can perform most book-keeping and memory-management operations. The Pandora SDK has been fully exploited in the implementation of PandoraPFA, which uses over 60 algorithms to provide the state of the art in particle flow calorimetry for ILC and CLIC. info:eu-repo/grantAgreement/EC/FP7/262025 info:eu-repo/semantics/openAccess Education Level info:eu-repo/semantics/article http://cds.cern.ch/record/1994340 J. Phys.: Conf. Ser. J. Phys.: Conf. Ser., (2012) pp. 022034 2012 |
spellingShingle | Detectors and Experimental Techniques 2: Common software tools 2.3: Reconstruction toolkit for HEP Marshall, J S Thomson, M A The Pandora software development kit, CHEP 2012 |
title | The Pandora software development kit, CHEP 2012 |
title_full | The Pandora software development kit, CHEP 2012 |
title_fullStr | The Pandora software development kit, CHEP 2012 |
title_full_unstemmed | The Pandora software development kit, CHEP 2012 |
title_short | The Pandora software development kit, CHEP 2012 |
title_sort | pandora software development kit, chep 2012 |
topic | Detectors and Experimental Techniques 2: Common software tools 2.3: Reconstruction toolkit for HEP |
url | https://dx.doi.org/10.1088/1742-6596/396/2/022034 http://cds.cern.ch/record/1994340 http://cds.cern.ch/record/1994340 |
work_keys_str_mv | AT marshalljs thepandorasoftwaredevelopmentkitchep2012 AT thomsonma thepandorasoftwaredevelopmentkitchep2012 AT marshalljs pandorasoftwaredevelopmentkitchep2012 AT thomsonma pandorasoftwaredevelopmentkitchep2012 |